Literature DB >> 20938067

Projection correlation based view interpolation for cone beam CT: primary fluence restoration in scatter measurement with a moving beam stop array.

Hao Yan1, Xuanqin Mou, Shaojie Tang, Qiong Xu, Maria Zankl.   

Abstract

Scatter correction is an open problem in x-ray cone beam (CB) CT. The measurement of scatter intensity with a moving beam stop array (BSA) is a promising technique that offers a low patient dose and accurate scatter measurement. However, when restoring the blocked primary fluence behind the BSA, spatial interpolation cannot well restore the high-frequency part, causing streaks in the reconstructed image. To address this problem, we deduce a projection correlation (PC) to utilize the redundancy (over-determined information) in neighbouring CB views. PC indicates that the main high-frequency information is contained in neighbouring angular projections, instead of the current projection itself, which provides a guiding principle that applies to high-frequency information restoration. On this basis, we present the projection correlation based view interpolation (PC-VI) algorithm; that it outperforms the use of only spatial interpolation is validated. The PC-VI based moving BSA method is developed. In this method, PC-VI is employed instead of spatial interpolation, and new moving modes are designed, which greatly improve the performance of the moving BSA method in terms of reliability and practicability. Evaluation is made on a high-resolution voxel-based human phantom realistically including the entire procedure of scatter measurement with a moving BSA, which is simulated by analytical ray-tracing plus Monte Carlo simulation with EGSnrc. With the proposed method, we get visually artefact-free images approaching the ideal correction. Compared with the spatial interpolation based method, the relative mean square error is reduced by a factor of 6.05-15.94 for different slices. PC-VI does well in CB redundancy mining; therefore, it has further potential in CBCT studies.

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Year:  2010        PMID: 20938067     DOI: 10.1088/0031-9155/55/21/002

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  14 in total

1.  Towards the clinical implementation of iterative low-dose cone-beam CT reconstruction in image-guided radiation therapy: cone/ring artifact correction and multiple GPU implementation.

Authors:  Hao Yan; Xiaoyu Wang; Feng Shi; Ti Bai; Michael Folkerts; Laura Cervino; Steve B Jiang; Xun Jia
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

2.  Estimating scatter from sparsely measured primary signal.

Authors:  Gongting Wu; Christina R Inscoe; Jabari Calliste; Jing Shan; Yueh Z Lee; Otto Zhou; Jianping Lu
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-29

3.  A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections.

Authors:  Xun Jia; Hao Yan; Laura Cervino; Michael Folkerts; Steve B Jiang
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

4.  A model-based scatter artifacts correction for cone beam CT.

Authors:  Wei Zhao; Don Vernekohl; Jun Zhu; Luyao Wang; Lei Xing
Journal:  Med Phys       Date:  2016-04       Impact factor: 4.071

5.  Optimization of the geometry and speed of a moving blocker system for cone-beam computed tomography scatter correction.

Authors:  Xi Chen; Luo Ouyang; Hao Yan; Xun Jia; Bin Li; Qingwen Lyu; You Zhang; Jing Wang
Journal:  Med Phys       Date:  2017-09       Impact factor: 4.071

6.  Learning-based CBCT correction using alternating random forest based on auto-context model.

Authors:  Yang Lei; Xiangyang Tang; Kristin Higgins; Jolinta Lin; Jiwoong Jeong; Tian Liu; Anees Dhabaan; Tonghe Wang; Xue Dong; Robert Press; Walter J Curran; Xiaofeng Yang
Journal:  Med Phys       Date:  2018-12-11       Impact factor: 4.071

7.  A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy.

Authors:  Yuan Xu; Ti Bai; Hao Yan; Luo Ouyang; Arnold Pompos; Jing Wang; Linghong Zhou; Steve B Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2015-04-10       Impact factor: 3.609

8.  A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT.

Authors:  Hao Yan; Laura Cervino; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-04-07       Impact factor: 3.609

9.  CT to cone-beam CT deformable registration with simultaneous intensity correction.

Authors:  Xin Zhen; Xuejun Gu; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-10-03       Impact factor: 3.609

10.  4D cone-beam computed tomography (CBCT) using a moving blocker for simultaneous radiation dose reduction and scatter correction.

Authors:  Cong Zhao; Yuncheng Zhong; Xinhui Duan; You Zhang; Xiaokun Huang; Jing Wang; Mingwu Jin
Journal:  Phys Med Biol       Date:  2018-05-29       Impact factor: 3.609

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